NVIDIA stories - Page 21

The program is designed to aid companies in finding modern data center facilities for their artificial intelligence-based infrastructure.

NVIDIA has integrated CUDA support for Arm CPUs, paving the way for exascale supercomputers that are both energy-efficient and AI-enabled, enhancing HPC reach.

NVIDIA launches new platform to enable low-latency AI at the edge, allowing companies to process real-time streaming data.

NVIDIA's data center revenue dropped 10% year-over-year to USD $634 million, but CEO Jensen Huang is optimistic about their acquisition of Mellanox.

Red Hat and NVIDIA have deepened their alliance to streamline AI and machine learning, focusing on GPU-accelerated workloads across hybrid cloud environments.

NVIDIA's T4 GPUs are now globally available on Google Cloud Platform, boosting HPC, machine learning, and graphics workloads with cost efficiency.

TYAN unveils server platforms supporting NVIDIA GPU accelerators for deep learning, inference and rendering workloads.

Inspur unveils a robust AI edge server, optimised for extreme conditions and AI-intensive tasks like autonomous vehicles.

ADLINK and Charles unveil the first pole-mounted micro-edge AI solution designed for outdoor telecom use, debuting at NVIDIA GPU Tech Conference.

Businesses are realising they need AI at scale, and so enterprise IT teams are increasingly inserting themselves into their company's AI agenda.

NVIDIA partners with major server manufacturers to provide highly efficient platforms for data analytics and other workloads.

AI transforms radiology: Subtle Medical's SubtlePET gets FDA clearance, boosting scan speed and patient safety.

The announcement of NVIDIA's largest ever acquisition follows months of speculation involving other potential bids from the likes of Microsoft and Intel.

The duo asserts they're looking to reinvent data centres with storage and compute solutions that are equipped for AI and deep learning (DL) workloads.